Synthetic Estimation

Synthetic Estimation is a work measurement technique that belongs to the class of time prediction methods in which standard times for tasks are derived by combining pre-determined elemental time data rather than through direct observation or stopwatch timing.

36

Publications

2.5K

Citations

63

Authors

41

Institutions

Publications per year

2017–2026

7

Variants

Synthetic Time Estimation

Authors

63

  1. YH
    Yih‐Ing Hser

    University of California, Los Angeles, United States

    2 publications · 63 citations

    2

    h-index

  2. ZP
    Zachary Porreca

    West Virginia University, United States

    2 publications · 57 citations

    2

    h-index

  3. LS
    Ludi Simpson

    University of Manchester, United Kingdom

    1 publications · 60 citations

    1

    h-index

  4. RC
    Ronald C. Kessler

    Harvard University, United States

    1 publications · 21 citations

    1

    h-index

  5. XZ
    Xiaodan Zhang

    Xi'an Polytechnic University, China

    1 publications · 13 citations

    1

    h-index

1–5 of 63

Venues

  1. PubMed

    Repository · 5 publications · 79 citations

    5

    h-index

  2. SSRN Electronic Journal

    Repository · 4 publications · 109 citations

    4

    h-index

  3. Journal of Drug Issues

    JDI · 3 publications · 121 citations

    3

    h-index

  4. 2

    h-index

  5. Social Science & Medicine

    1 publications · 57 citations

    1

    h-index

1–5